Itika Arora

Dr. Itika Arora


Research Focus & Metrics

Academic Career Length

1Year (2026-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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14 August 2026 in Cancers
Verified
Journal Article
Open access
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IAItika Arora
Itika Arora
SSShamsa Hilal Saleh
Shamsa Hilal Saleh
AAArshiya Akbar
Arshiya Akbar
FAFareeha Arshad
Fareeha Arshad
VMVolodymyr Mavrych
Volodymyr Mavrych
AYAhmed Yaqinuddin
Ahmed Yaqinuddin
Background/Objectives: Glioblastoma (GBM) is the most lethal primary brain malignancy in adults, with a median overall survival of approximately 15 months. Temozolomide (TMZ) resistance develops in virtually all patients, and no second-line regimen has improved outcomes over the past two decades. The DNA methyltransferase inhibitor decitabine (DAC) has attracted interest as a chemosensitizer, but whether it directly reverses the TMZ-resistance transcriptome or operates through distinct, complementary mechanisms has not been tested at multi-omics resolution. Methods: We performed an integrative six-layer multi-omics analysis across five public GEO datasets (bulk RNA-seq, EPIC 850K methylation, and 21,676 single cells) re-purposed from studies conducted for unrelated aims, formally tested DAC-mediated reversal of the TMZ-resistance transcriptome across 11,707 genes, mapped pharmacogenomic targets with DGIdb v5, and built an exploratory, hypothesis-generating 11-gene prognostic model internally validated in TCGA-GBM (n = 166) and externally tested in the independent CPTAC-GBM cohort (n = 96). Results: DAC reprogrammed transcription across 1114–1882 differentially expressed genes per cohort and reactivated 146 direct epigenetic targets, identifying INPP5D/SHIP1 as the top-ranked direct epigenetic-reactivation target. Genome-wide reversal analysis across 11,707 co-detected genes showed a negligible effect (Spearman ρ = 0.073), but single-cell analysis revealed significant per-cell attenuation of MES-like and stem-like programs (Δ = −0.071 and −0.135, respectively; both p < 0.001). The 11-gene risk model achieved a Harrell’s C-index of 0.706 (apparent); after correcting for the two-stage gene selection with a full-pipeline bootstrap, the optimism-corrected C-index was 0.63, and external validation in an independent cohort (CPTAC-GBM, n = 96) showed only near-chance discrimination (C-index 0.55), indicating that the signature does not generalize and is exploratory. Pharmacogenomic mapping yielded 734 unique therapeutic agents (230 FDA-approved) across 69 druggable targets after excluding AR. Most of these agents are not GBM-directed, so this catalog-level mapping is hypothesis-generating rather than a set of therapeutic recommendations. Conclusions: DAC does not broadly reverse the TMZ-resistant transcriptome but acts through three complementary mechanisms: epigenetic reactivation of INPP5D/SHIP1, cancer-testis-antigen and type I interferon induction, and per-cell attenuation of mesenchymal–stem-like transcriptional intensity, supporting hypotheses for rationally designed DAC-based combination therapy in TMZ-resistant GBM.

31 October 2026 in Cells
Verified
Journal Article
Open access
PDF file
IAItika Arora
Itika Arora
Suvasmita RathSuvasmita Rath
Suvasmita Rath
Qazi Mohammad Sajid JamalQazi Mohammad Sajid Jamal
Qazi Mohammad Sajid Jamal
AAAhmed Aljohani
Ahmed Aljohani
AHAbid Hamid
Abid Hamid
AYAhmed Yaqinuddin
Ahmed Yaqinuddin
PTEN loss activates PI3K–AKT signaling, and mTORC1 stimulates pyrimidine synthesis through S6K1-mediated CAD phosphorylation. This exploratory public-data analysis tested whether PTEN deletion in primary prostate cancer is associated with CAD, mTORC1 and pyrimidine-synthesis expression, and whether these survive protein-level and confounder analyses. In 485 primary tumors from The Cancer Genome Atlas Prostate Adenocarcinoma (TCGA-PRAD; 159 PTEN-deleted), deletion was associated with higher CAD mRNA (Hedges’ g = 0.57) and higher Hallmark mTORC1 scores (g = 0.54). In 342 tumors with reverse-phase protein-array data, deletion was accompanied by lower PTEN protein and higher AKT Ser473 phosphorylation but not by a higher pre-specified mTORC1 phospho-output composite (g = −0.02), itself uncorrelated with the transcriptional score. In a pre-specified model adding purity, TP53, RB1, ERG fusion and batch (n = 276), the PTEN–CAD association was absent (β = −0.002; p = 0.96), whereas the mTORC1-score association persisted. In a post hoc decomposition, ERG fusion, which co-occurs with PTEN deletion (odds ratio 3.6), changed the coefficient most. Across eight cohorts, a small PTEN mRNA–CAD association (g = 0.23) was attenuated to 0.14 after ERG adjustment, with overlapping confidence intervals (Hartung–Knapp p = 0.071). Bulk-tumor pathway signatures and PTEN–CAD associations need protein-level and ERG-aware interpretation.